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Xiao ChenView profile

Researcher

• Composite Structures
• Wind Energy Systems
• Structural Integrity
• +7 more

Xiao Chen is a Researcher at the Technical University of Denmark (DTU), specializing in advanced testing and digitalization of composite and offshore steel structures for wind energy systems. With a PhD from Nagoya University (2011), his work focuses on structural integrity, fatigue analysis, and Digital Twins for wind turbine blades. PhD in Engineering, Nagoya University (2011) Senior Researcher (2019–present) and Researcher (2017–2018) at DTU Associate Professor (2016–2017) and Assistant Professor (2013–2015) at Chinese Academy of Sciences His research explores nonlinear buckling, fracture mechanics, and Industry 4.0 technologies for structural health monitoring. Recent publications highlight AI-driven damage detection, thermographic analysis, and finite element modeling of composites. He leads projects like QualiDrone and AQUADA-GO, funded by EUDP and VILLUM FONDEN. Key article trends include composite fatigue , digital twins , drone-based inspection , and machine learning for structural monitoring. He received the 2022 Best Presentation Award at an international conference. Projects: Villum Experiment Project DiscoverBlaDE AQUADA-GO QualiDrone DARWIN RELIABLADE RELIfe

Thomas Lykke AndersenView profile

Associate Professor

• Coastal Engineering
• Wave Energy
• Physical Modeling
• +4 more

Thomas Lykke Andersen is an Associate Professor and Head of the Ocean and Coastal Engineering Research Group at Aalborg University's Department of the Built Environment within the Faculty of Engineering and Science. His work focuses on coastal engineering, wave energy systems, and physical modeling of marine structures. Key projects include the RESCUER initiative enhancing coastal resilience and leadership in the WaveLab facility. Research interests span breakwater design, wave-structure interactions, and hydraulic engineering. Notable contributions include advancements in wave separation algorithms (NL-SORS), stability analysis of rock armor systems, and offshore wind turbine foundation dynamics. His lab conducts large-scale physical experiments addressing coastal protection challenges. Publications emphasize wave dynamics, overtopping prediction, and innovative coastal infrastructure. Supervision includes one documented PhD student. Media engagements highlight contributions to coastal engineering solutions and university teaching methodologies during the pandemic.

Claus BrabrandView profile

Professor

• Computing Education Research
• Gender Studies in STEM
• Diversity in Technology
• +3 more

Claus Brabrand is a Professor of Software Engineering and Head of the Center for Computing Education Research at the IT University of Copenhagen. His research focuses on computing education, gender diversity in STEM, and software product line analysis. He has led projects like DIREC (Digital Research Centre Denmark) and ATTiKA (Adaptive Tools for Technical Knowledge Acquisition), funded by the Innovation Fund Denmark and Villum Foundation. PhD in Computer Science Over 45 publications in computing education and software engineering Active in curriculum development and educational policy Research interests include improving teaching quality through learning technologies, gender representation in IT materials, and cognitive competencies in programming education. His work bridges software engineering principles with pedagogical innovations, addressing issues like novice programmer performance and curriculum design.

Filipe RodriguesView profile

Associate Professor

• Machine Learning
• Intelligent Transportation Systems
• Transportation Science
• +7 more

Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems. His research interests lie at the intersection of machine learning , transportation science , and behavioral modeling . He specializes in discrete choice modeling , reinforcement learning , graph neural networks , and smart card data analytics . His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization. The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior , public transport trip validation , autonomous fleet control , and causal machine learning . These works predominantly employ deep learning , Bayesian modeling , and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond. Scientific Contributions: Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling . Supervises multiple PhD projects on AI in transportation and causal modeling. Regular presenter at major transportation and AI conferences. Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond. Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.

Haley KujawaView profile

Researcher

• Environmental Modeling
• Water Quality Management
• Climate Change Impacts
• +4 more

Haley Kujawa is a Postdoctoral Researcher at the Department of Biology, University of Southern Denmark (SDU). She is affiliated with the Aqua-NbS research center, focusing on environmental modeling to address water quality and carbon storage challenges under climate change. Her work emphasizes stakeholder engagement to ensure model results are practically applicable for policy and decision-making. Her research employs tools like the Soil and Water Assessment Tool (SWAT) to quantify nutrient runoff from agricultural landscapes and design management strategies. She has collaborated with governmental organizations, NGOs, and landowners to enhance model relevance. Current projects involve developing locally adaptable environmental models to evaluate aquatic nature-based solutions (NbS) across climate scenarios. Key research areas include watershed modeling, climate adaptation strategies, and interdisciplinary approaches to integrate models into policy frameworks. Her publications span hydrology, environmental management, and uncertainty analysis in climate-sensitive systems. Dr. Kujawa’s work bridges scientific rigor and real-world application, aiming to provide actionable insights for sustainable land and water management. She contributes to the Aqua-NbS center’s interdisciplinary efforts to create land-management scenarios tailored for policy contexts.

Erik Damgaard ChristensenView profile

Professor

• Fluid Mechanics
• Coastal Engineering
• Maritime Engineering
• +7 more

Erik Damgaard Christensen is a Professor and Head of Section in Fluid Mechanics, Coastal and Maritime Engineering at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His research is central to coastal and offshore hydrodynamics, with strong expertise in breaking waves, wave-structure interactions, and offshore wind turbine foundations. His research interests include Fluid Mechanics , Coastal and Maritime Engineering , Computational Fluid Dynamics (CFD) , Sediment Transport , Shoreline Development , and Wave Loads on Offshore Structures . His work applies advanced numerical modeling and experimental analysis to solve real-world coastal engineering challenges. The recent publications indicate a strong trend towards sustainable offshore energy systems, environmental protection (e.g., microplastic retention), and innovative coastal defenses such as artificial reefs. His work integrates high-fidelity simulations with practical applications in offshore wind and marine ecosystems. Scientific Contributions and Projects: Coordinator of EU 7th Framework Project MERMAID Involved in major projects: SASME, DELOS, Safe Offload, SBWI, SDWED, FIELD_AC, FMK, MSBWI Active in research on turbulence in plunging breakers and flow in porous marine structures He has supervised several PhD students, including Y. Zhai, K. D. Göral, and Z. Wei, and is actively involved in advising and collaborative research. His external roles include former Head of Innovation at DHI (2007–2010) and prior positions as Hydrodynamics Specialist and Coastal Engineer at DHI from 1996 to 2010. His laboratory and research team focus on computational and experimental hydrodynamics, with strong links to DTU’s coastal engineering facilities and international collaborations in offshore and coastal research.

Kasper JessenView profile

Assistant Professor

• Power Electronics
• DC Microgrids
• Solid Oxide Electrolysis
• +3 more

Kasper Jessen is an Assistant Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section. He holds a Master's in Sustainable Energy Engineering (Offshore Energy Systems, 2018) and a Bachelor's in Energy Engineering (Dynamic Systems, 2016). His research focuses on sustainable energy technologies with emphasis on power electronics, microgrid stability, and solid oxide electrolysis systems. Primary research domains include: Design and control of DC microgrid infrastructure Robust power conversion for renewable energy systems Real-time simulation of electrochemical processes Advanced control algorithms for power-to-X applications Dynamic modeling of solid oxide electrolyzers His recent publications (2023-2024) demonstrate strong focus on microgrid stability solutions, real-time emulation of electrolysis systems, and advanced control schemes for power converters. Research consistently addresses renewable integration challenges through experimental validation and simulation. Currently leads or contributes to several major projects: Control and Protection of DC Microgrids (PI, ongoing since 2019) BlueBARGE : Renewable electricity for maritime applications (EU Commission, 2024-2026) Robust And Dynamic Electrolysis for Power-to-X (2024-2027) EMPOWER : Sustainable batteries for zero-emission transport (2022-2025) DynEfuel : Dynamic eFuel production technology (2023-2025)

Amir BabakiView profile

Assistant Professor

• Power Electronics
• Front end converter design
• Wireless Power Transfer
• +7 more

Amir Babaki is an Assistant Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark. His research focuses on power electronics, wireless power transfer, and high-efficiency converter design for electric vehicle applications. University: University of Southern Denmark School: Institute of Mechanical and Electrical Engineering Rank: Assistant Professor Email: amirbabaki@sdu.dk Research Interests Babaki's work centers on power electronics, specifically front-end converters, wireless power transfer (WPT), and high-frequency resonant converters. His research explores efficiency optimization in dynamic WPT systems for electric vehicles (EVs), including control strategies for power factor correction and voltage regulation. He also investigates integrated magnetic structures for misalignment tolerance and develops predictive control methods without communication or model dependencies. Research Projects He contributes to projects like HiCoMMID (2021-2024) on motor integrated drives and HPC (2024-2027) for ultra-high efficiency DC-DC converters in high-power charging. These projects intersect with automotive engineering, energy efficiency, and converter design optimization. Teaching Babaki supervises Master's theses and teaches courses in power electronics and electrical engineering, including PE2 and ELTR3 modules related to converter technologies and wireless power systems.

Henrik MadsenView profile

Professor

• Energy Systems
• Stochastic Processes
• Demand Response
• +7 more

Henrik Madsen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His work focuses on energy systems, stochastic processes, and mathematical modeling. He leads research in areas such as demand response in district heating, probabilistic forecasting, and integration of renewable energy sources. Madsen has supervised multiple PhD students and contributes to projects like the IEA DHC Annex TS9 and SEEDS initiative. His expertise includes statistical analysis, time series modeling, and data-driven approaches for energy systems. He actively engages in collaborative research on smart grids, thermal energy storage, and sustainable energy solutions. Education: Academic qualifications from DTU, though specific details are not provided in the text. Research Interests: Mathematical modeling of energy systems Probabilistic forecasting methodologies Integration of wind and solar power Dynamic modeling for district heating Data assimilation in hydrological systems Optimization of energy flexibility Publications & Trends: Recent works emphasize demand response strategies, district heating optimization, and machine learning tools like the nabqr Python package and evalprob4cast R package. His research bridges theoretical stochastic methods with practical applications in energy infrastructure. Grants & Projects: IEA DHC Annex TS9: Digitalization of district heating SEEDS: RES-integrated electrified heating systems Data-Driven Methods for Demand-Side Flexibility Labs/Teams: Collaborates with DTU's Dynamical Systems group and participates in interdisciplinary initiatives like the Frigg 2.0 energy system analysis framework.

• Energy Engineering
• Home Automation
• Learning Algorithms
• +12 more

Per Printz Madsen is an Associate Professor in the Department of Computer Science at Aalborg University, under The Technical Faculty of IT and Design. His research focuses on distributed, embedded, and intelligent systems with applications in energy efficiency, smart buildings, and renewable energy integration. His research interests span energy engineering, home automation, learning algorithms, fuzzy systems, neural networks, and intelligent control systems. He applies computational intelligence to optimize energy consumption in buildings and district heating systems, with a strong emphasis on real-world implementation through digital twin technology and supervisory control. The recent publications highlight a consistent trend in energy management systems, particularly in forecasting, load control, and energy brokerage in smart grids and buildings. The work emphasizes the integration of renewable generation and storage, leveraging machine learning and distributed control architectures to improve energy efficiency and reduce CO 2 emissions. He has been involved in several major research projects including ENCOURAGE, Homeport, Flexnet, and Mediterranean Virtual University, funded by entities such as Artemis JU and the Danish Enterprise and Construction Authority. These projects demonstrate sustained external funding and collaborative research across Europe. Madsen contributes regularly through technical reports and conference proceedings, primarily through Aalborg University. His work is applied and systems-oriented, targeting practical deployment in energy infrastructure. He is affiliated with the Distributed, Embedded and Intelligent Systems research group at Aalborg University, where he conducts interdisciplinary research bridging computer science and energy engineering to develop intelligent solutions for sustainable energy systems.

Zhe ChenView profile

Professor

• Wind Turbine Engineering
• Power Engineering
• Control Strategy
• +7 more

Professor Zhe Chen is a distinguished academic at Aalborg University's Faculty of Engineering and Science, where he leads research in Electric Power Systems and Microgrids within the Intelligent Energy Systems and Flexible Markets department. With an extensive publication record spanning over two decades and more than 1,200 publications, he has established himself as a leading expert in power engineering and renewable energy systems. Professor Chen's research focuses on Wind Turbine Engineering, Power Engineering, Control Strategy, Wind Power Engineering, Energy Engineering, and Reinforcement Learning. His work bridges theoretical advancements with practical applications in smart grid technology and microgrid systems. His research interests center around developing innovative solutions for renewable energy integration, power system stability, and efficient energy management. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional power engineering, particularly in applying deep reinforcement learning to power system control, state estimation with noisy data, and optimization of power electronic converters. His work shows increasing focus on carbon emissions optimization, thermal management in power electronics, and the application of advanced neural network architectures to energy systems. MPCE 2023 Best Paper Award for research on reinforcement learning applications in electric vehicles MPCE 2022 Best Paper Award for distribution network optimization MPCE 2021 Best Paper Award for reinforcement learning in energy systems WATAB Best Paper Award 2005 for offshore wind farm research IEEE Fellow recognition for contributions to power electronics and renewable energy systems Professor Chen has supervised 27 PhD students throughout his career, demonstrating his commitment to academic mentorship. His current research is supported by significant grants including the Erasmus+ funded S3SF project (Smart Energy Solutions for a Sustainable Future) and multiple projects focused on machine learning-based stability analysis for multi-energy systems. His collaborative work spans numerous international partnerships, with recent projects involving researchers from China, Europe, and other global institutions. Professor Chen leads a research team focused on intelligent energy systems, working on advanced control strategies for microgrids, power quality analysis, and the integration of renewable energy sources into existing power infrastructure. His team is particularly known for innovative approaches to wind power integration and DC microgrid technologies.

• Construction Engineering
• Structural Health Monitoring
• Concrete Structures
• +5 more

Muhammad Usman Hanif is an Assistant Professor at the Department of Technology and Innovation within the Faculty of Engineering at the University of Southern Denmark (SDU). His research focuses on structural health monitoring , concrete durability , and damage assessment in civil engineering systems. Research Highlights Advanced signal processing for bridge damage detection Acoustic Emission techniques in CFRP-concrete debonding Machine learning applications in concrete durability prediction Augmented Reality integration with bridge monitoring systems Recent Publications (2023-2025) 2025: Machine learning in concrete durability 2024: Novel ΔT mapping for debonding detection 2023: FBG sensors in CFRP retrofitted beams 2022: MEMS accelerometers for damage assessment Teaching Activities Finite Element Method (2025) Non-linear Finite Element Method (2025) Advanced Finite Element Analysis (2024)

Amin HajizadehView profile

Associate Professor

• Renewable Energy Systems
• DC Microgrids
• Offshore Renewable Energy
• +6 more

Amin Hajizadeh is an Associate Professor at Aalborg University (AAU), affiliated with the Esbjerg Energy Section in the Faculty of Engineering and Science . His research focuses on renewable energy systems, DC microgrids, offshore renewable energy integration, and AI-driven energy solutions. He holds a PhD in Electrical Power Engineering (2010). Research Highlights: Developing control strategies for modular multiport DC-DC converters and offshore wind-hydrogen systems Advancing energy management in net-zero buildings and smart city frameworks Pioneering work in AI-based wake steering for wind farm optimization Projects & Awards: Lead investigator in BlueBARGE (€5M EU project on renewable bunkering for anchored ships) Recipient of the 2024 Best Paper Award for work on neural network-based wake steering Key Contributions: Published 140+ papers in journals like IEEE Transactions and Renewable Energy Supervised 6 PhD students and contributed to 19 funded research projects Active in editorial roles (e.g., IET Renewable Power Generation)

Jens Myrup PedersenView profile

Professor

• Cybersecurity
• Network Security
• Machine Learning
• +5 more

Jens Myrup Pedersen is a Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. He is affiliated with the Cyber Security Group and focuses on improving digital wellbeing through cybersecurity research. His primary research interests include botnets, network security, machine learning applications in cybersecurity, and cybersecurity education. He leads or participates in projects such as Cyber Safe Robotics , AI:SECURITY , and GAMESS , addressing topics like AI-driven security, gamification in education, and secure software development. Pedersen has contributed to over 235 publications since 2003, emphasizing cybersecurity threats, network analysis, and educational methodologies. His work extends to cybersecurity training platforms like Haaukins and The Privacy Universe , designed to enhance user awareness through gamification. Pedersen collaborates internationally, engaging in initiatives like the European Cyber Security Challenge and cybersecurity hackathons. He holds roles in professional organizations such as the Danish Cybersecurity Board and the IDA association. Recent research highlights include NLP security ethics, OT cyber resilience, and cryptocurrency forecasting tools. His projects often bridge academia and industry, focusing on real-world impact through student-driven projects and cross-disciplinary collaborations.

Amin BarariView profile

Associate Professor

• Geotechnical Engineering
• Offshore Wind Turbines
• Soil-Structure Interaction
• +5 more

Amin Barari is an Associate Professor and Head of the Geotechnical Engineering and Offshore Foundations Research Group at Aalborg University's Department of the Built Environment (Faculty of Engineering and Science). His research focuses on offshore geotechnics, green energy technologies, soil-structure interaction for wind turbines, and soil liquefaction. He holds a PhD from Aalborg University (2012) and has held postdoctoral positions at Virginia Tech (USA) and the Technical University of Denmark. He is an editorial board member for journals like Proceedings of the Institution of Civil Engineers - Geotechnical Engineering and co-founder of the Mechanical Sciences Journal . He has organized major conferences including OMAE 2017 and OMAE 2016, and has given invited lectures globally. His work has over 2,170 citations (h-index 28) with 50+ journal papers. He also serves as a Senior Geotechnical Engineer at Universal Foundation A/S. Education: PhD in Geotechnical Engineering (Aalborg University, 2012). Notable roles include Postdoctoral Researcher at Virginia Tech (2015–2017) and Visiting Research Associate at TU Denmark (2015). Research Interests: Offshore wind turbine foundations Soil liquefaction mechanics Nonlinear geotechnical analysis Performance-based design for energy infrastructure Emerging renewable energy technologies Grants & Projects: Co-led the 'Universal Foundation Concept' (2008–2011) and his PhD project on bucket foundations (2008–2012). Current research emphasizes prototype development for offshore energy systems. Labs/Teams: Active in the Geotechnical Engineering and Offshore Foundations Research Group, collaborating on centrifuge testing and numerical modeling initiatives.